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About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
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Research Intern - Machine Learning for Biology and Healthcare will join the Biomedical Machine Learning Group to work at the intersection of machine learning, biology, and healthcare. This role involves collaborating with doctoral candidates and world-class researchers to put inquiry and theory into practice. Interns are expected to contribute to research and development strides, present findings, and participate in the research community. The work focuses on machine learning techniques in healthcare, including cancer biology, precision medicine, and medical imaging. Key research areas involve generative models of genomes, molecules, proteins, and chemical reactions, as well as statistical genetics. Candidates must be currently enrolled in a doctoral degree program in fields such as Computer Science, Biomedical Informatics, Biomedical Engineering, Chemical Engineering, or Computational Biology.
Put inquiry and theory into practice through active research.
Contribute to research and development strides in machine learning, biology, or healthcare.
Work alongside doctoral candidates and world-class researchers on technical projects.
Present research findings to the research community.
Develop and execute original research agendas.
Apply machine learning techniques to fields like cancer biology or medical imaging.
Generate models for genomes, molecules, proteins, and chemical reactions.
What we're looking for
Must be currently enrolled in a Doctoral Degree program in Computer Science, Biomedical Informatics, Biomedical Engineering/Bioengineering, Chemical Engineering, Computational Biology, or related STEM fields.
Must be physically located at the manager's Microsoft worksite location for the duration of the internship.
Must submit a research statement describing research interests and aims as part of the application.
Demonstrated ability to develop original research agendas (preferred).
Ability to collaborate effectively with other researchers (preferred).
Proficient interpersonal skills, cross-group, and cross-culture collaboration (preferred).
Machine Learning
Artificial Intelligence
Deep Learning
PyTorch
HuggingFace Transformers
vLLM
Reinforcement Learning
Language Modeling
Large Language Models
Model Interpretability
Test-time Scaling
Python
Large Language Models
retrieval-augmented-generation
Graph Machine Learning
Computer Vision
Statistics
Matrix Analysis
Probability
Machine Learning
Graph Theory
Computer Science
Machine Learning
Natural Language Processing
Reinforcement Learning
Foundation Models
Artificial Intelligence
Human-AI Interaction
Computational Social Science
User Modeling and Simulation
Continual Learning